QoE-Driven Optimization in 5G O-RAN-Enabled HetNets for Enhanced Video Service Quality

Many innovative applications are projected to be supported by 5G networks across three verticals: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication. Given the constraints of current radio access (RANs), accommodating all these applications, considering their quality service experience (QoE) requirements is not practical. OpenRAN a new architecture touted as most viable next-generation RAN solution. It promotes software-defined component, intelligent controller (RIC), which governs supplies intelligence optimize resource allocation, implement handovers, manage interference, balance load between cells. RIC has two parts: non-real-time (non-RT) near-RT. This article introduces novel QoE enhancement function (QoE 2 F) xApp enhance functionality near-RT through providing efficient provisioning users requesting high-resolution video services. deploys an adaptive genetic algorithm perform optimal user association along with power allocation in HetNets. Simulation results demonstrate superior F performance terms VMAF MoS for different resolution videos diverse numbers users.